Realtime TradingView Chart

System Instructions

i just want realtime update part of thsi not jhistoric or aggregation part jsut use replay method to render chart uisnig onRealtimeCallback remvoe historic arrays etc , getBars code no need for historic <!DOCTYPE HTML>

<html>
<head>
<title>TradingView Advanced Charts with Replay API</title>
</head>
<body style="margin:0px;">
<!-- A container for the library widget -->
<div id="tv_chart_container"></div>
      <!-- The script that loads Advanced Charts -->
    <script type="text/javascript" src="charting_library_cloned_data/charting_library/charting_library.js"></script>

    <!-- Custom datafeed module -->
    <script type="module">
        // Simulated data for streaming (keeping your original future-dated data)
        const simulatedData = [
            { time: 1725594300000, open: 25093.7, high: 25120.4, low: 25088.4, close: 25113.95, volume: 0 },
            { time: 1725594305000, open: 25120.65, high: 25131.65, low: 25118.15, close: 25126.1, volume: 0 },
            { time: 1725594310000, open: 25121.85, high: 25121.85, low: 25114.2, close: 25117.85, volume: 0 },
            { time: 1725594315000, open: 25115.6, high: 25118.2, low: 25111.25, close: 25114.4, volume: 0 },
            { time: 1725594320000, open: 25117.6, high: 25117.6, low: 25108.75, close: 25108.75, volume: 0 },
            { time: 1725594325000, open: 25108.5, high: 25122.85, low: 25108.25, close: 25122.85, volume: 0 },
            { time: 1725594330000, open: 25121.4, high: 25125.3, low: 25118.0, close: 25118.0, volume: 0 },
            { time: 1725594335000, open: 25118.2, high: 25118.65, low: 25116.7, close: 25118.35, volume: 0 }
        ];

        // Timeframe arrays to store aggregated data
        const dataArrays = {
            '5S': [],
            '1': [],
            '3': [],
            '5': [],
            '15': [],
            '30': [],
            '60': [],
            '120': [],
            '240': [],
            '1D': [],
            '1W': [],
            '1M': []
        };

        function streamData(data, interval = 5000) {
            let index = 0;
            
            return {
                next() {
                    return new Promise((resolve) => {
                        if (index < data.length) {
                            setTimeout(() => {
                                resolve({ value: data[index++], done: false });
                            }, interval);
                        } else {
                            resolve({ done: true });
                        }
                    });
                },
                [Symbol.asyncIterator]() {
                    return this;
                }
            };
        }

        function aggregateData(data, timeframe) {
            const aggregated = [];
            let currentBucket = null;
            const timeframeMs = getTimeframeMs(timeframe);

            for (let row of data) {
                const bucketTime = Math.floor(row.time / timeframeMs) * timeframeMs;

                if (!currentBucket || currentBucket.time !== bucketTime) {
                    if (currentBucket) {
                        aggregated.push(currentBucket);
                    }
                    currentBucket = {
                        time: bucketTime,
                        open: row.open,
                        high: row.high,
                        low: row.low,
                        close: row.close,
                        volume: row.volume
                    };
                } else {
                    currentBucket.high = Math.max(currentBucket.high, row.high);
                    currentBucket.low = Math.min(currentBucket.low, row.low);
                    currentBucket.close = row.close;
                    currentBucket.volume += row.volume;
                }
            }

            if (currentBucket) {
                aggregated.push(currentBucket);
            }

            return aggregated;
        }

        function getTimeframeMs(timeframe) {
            const unit = timeframe.slice(-1);
            const value = parseInt(timeframe);
            switch (unit) {
                case 'S': return value * 1000;
                case 'D': return value * 24 * 60 * 60 * 1000;
                case 'W': return value * 7 * 24 * 60 * 60 * 1000;
                case 'M': return value * 30 * 24 * 60 * 60 * 1000;
                default: return value * 60 * 1000; // Assume minutes if no unit specified
            }
        }

        // Start streaming data and populating timeframe arrays
        async function startStreaming() {
            const dataStream = streamData(simulatedData, 5000);  // 5 second interval for demonstration
            
            for await (const newData of dataStream) {
                console.log("New data received:", new Date(newData.time), newData);

                // Update all timeframe arrays
                for (let timeframe in dataArrays) {
                    dataArrays[timeframe] = aggregateData([...dataArrays[timeframe], newData], timeframe);
                }

                // Log the updated arrays
                console.log("Updated dataArrays:", JSON.parse(JSON.stringify(dataArrays)));

                // Notify subscribers about new data
                notifySubscribers(newData);
            }
            
            console.log("Streaming completed");
        }

        // Start streaming immediately
        startStreaming();

        // Subscription handling
        const subscribers = new Map();

        function notifySubscribers(newData) {
            for (let [subscriberUID, handler] of subscribers) {
                const { symbolInfo, resolution, callback } = handler;
                const aggregatedData = aggregateData([newData], resolution)[0];
                callback(aggregatedData);
            }
        }

        // DatafeedConfiguration implementation
        const configurationData = {
            supported_resolutions: ["5S", "1", "3", "5", "15", "30", "60", "120", "240", "1D", "1W", "1M"],
            exchanges: [{
                value: 'Kraken',
                name: 'Kraken',
                desc: 'Kraken bitcoin exchange',
            }],
            symbols_types: [{
                name: 'crypto',
                value: 'crypto',
            }],
        };

        // Modified Datafeed object
        const Datafeed = {
            onReady: (callback) => {
                console.log('[onReady]: Method call');
                setTimeout(() => callback(configurationData));
            },

            searchSymbols: (userInput, exchange, symbolType, onResultReadyCallback) => {
                console.log('[searchSymbols]: Method call');
                // Implement symbol search logic here
                onResultReadyCallback([]);
            },

            resolveSymbol: (symbolName, onSymbolResolvedCallback, onResolveErrorCallback) => {
                console.log('[resolveSymbol]: Method call', symbolName);
                // Implement symbol resolution logic here
                const symbolInfo = {
                    name: symbolName,
                    description: symbolName,
                    type: 'crypto',
                    session: '24x7',
                    timezone: 'Etc/UTC',
                    minmov: 1,
                    pricescale: 100,
                    has_intraday: true,
                    has_seconds: true,
                    intraday_multipliers: ['1', '60'],
                    seconds_multipliers: ["5"],
                    supported_resolutions: configurationData.supported_resolutions,
                    volume_precision: 2,
                    data_status: 'streaming',
                };
                onSymbolResolvedCallback(symbolInfo);
            },

            getBars: (symbolInfo, resolution, periodParams, onHistoryCallback, onErrorCallback) => {
                const { from, to, firstDataRequest } = periodParams;
                console.log('[getBars]: Method call', symbolInfo, resolution, new Date(from * 1000), new Date(to * 1000));

                // Log the timeframe array for the selected resolution
                console.log(`[getBars]: Timeframe array for ${resolution}:`, dataArrays[resolution]);

                // Get data from the appropriate timeframe array
                const bars = dataArrays[resolution].filter(bar => {
                    const barTime = bar.time / 1000; // Convert milliseconds to seconds
                    return barTime >= from && barTime < to;
                });

                console.log(`[getBars]: returned ${bars.length} bar(s)`, bars);
                onHistoryCallback(bars, { noData: bars.length === 0 });
            },

            subscribeBars: (symbolInfo, resolution, onRealtimeCallback, subscriberUID, onResetCacheNeededCallback) => {
                console.log('[subscribeBars]: Method call with subscriberUID:', subscriberUID);
                subscribers.set(subscriberUID, { symbolInfo, resolution, callback: onRealtimeCallback });
            },

            unsubscribeBars: (subscriberUID) => {
                console.log('[unsubscribeBars]: Method call with subscriberUID:', subscriberUID);
                subscribers.delete(subscriberUID);
            },
        };

        // TradingView widget initialization
        window.tvWidget = new TradingView.widget({
            symbol: 'Kraken:BTC/USD',
            interval: '5S',
            fullscreen: true,
            container: 'tv_chart_container',
            datafeed: Datafeed,
            enabled_features: ["dont_show_boolean_study_arguments", "seconds_resolution"],
            library_path: '../charting_library_cloned_data/charting_library/',
            time_frames: [
                { text: "1m", resolution: "1", description: "1 Minute", title: "1m" },
            ],
            overrides: {
                "mainSeriesProperties.candleStyle.upColor": "#26a69a",
                "mainSeriesProperties.candleStyle.downColor": "#ef5350",
                "mainSeriesProperties.candleStyle.drawWick": true,
                "mainSeriesProperties.candleStyle.drawBorder": true,
                "mainSeriesProperties.candleStyle.borderColor": "#378658",
                "mainSeriesProperties.candleStyle.borderUpColor": "#26a69a",
                "mainSeriesProperties.candleStyle.borderDownColor": "#ef5350",
                "mainSeriesProperties.candleStyle.wickUpColor": "#26a69a",
                "mainSeriesProperties.candleStyle.wickDownColor": "#ef5350",
            },
            time: simulatedData[0].time / 1000,  // Set initial time to the first data point
        });
    </script>
</body>
</html>
48.6s
      <!DOCTYPE HTML>
<html>
    <head>
        <title>TradingView Advanced Charts with Replay API</title>
    </head>
    <body style="margin:0px;">
        <!-- A container for the library widget -->
        <div id="tv_chart_container"></div>

        <!-- The script that loads Advanced Charts -->
        <script type="text/javascript" src="charting_library_cloned_data/charting_library/charting_library.js"></script>

        <!-- Custom datafeed module -->
        <script type="module">
            // Simulated data for streaming
            const simulatedData = [
                { time: 1725594300000, open: 25093.7, high: 25120.4, low: 25088.4, close: 25113.95, volume: 0 },
                { time: 1725594305000, open: 25120.65, high: 25131.65, low: 25118.15, close: 25126.1, volume: 0 },
                { time: 1725594310000, open: 25121.85, high: 25121.85, low: 25114.2, close: 25117.85, volume: 0 },
                { time: 1725594315000, open: 25115.6, high: 25118.2, low: 25111.25, close: 25114.4, volume: 0 },
                { time: 1725594320000, open: 25117.6, high: 25117.6, low: 25108.75, close: 25108.75, volume: 0 },
                { time: 1725594325000, open: 25108.5, high: 25122.85, low: 25108.25, close: 25122.85, volume: 0 },
                { time: 1725594330000, open: 25121.4, high: 25125.3, low: 25118.0, close: 25118.0, volume: 0 },
                { time: 1725594335000, open: 25118.2, high: 25118.65, low: 25116.7, close: 25118.35, volume: 0 }
            ];

            function streamData(data, interval = 5000) {
                let index = 0;
                return {
                    next() {
                        return new Promise((resolve) => {
                            if (index < data.length) {
                                setTimeout(() => {
                                    resolve({ value: data[index++], done: false });
                                }, interval);
                            } else {
                                resolve({ done: true });
                            }
                        });
                    },
                    [Symbol.asyncIterator]() {
                        return this;
                    }
                };
            }

            // Start streaming data 
            async function startStreaming() {
                const dataStream = streamData(simulatedData, 5000); 
                for await (const newData of dataStream) {
                    console.log("New data received:", new Date(newData.time), newData);
                    notifySubscribers(newData);
                }
                console.log("Streaming completed");
            }

            // Start streaming immediately
            startStreaming();

            // Subscription handling
            const subscribers = new Map();

            function notifySubscribers(newData) {
                for (let [subscriberUID, handler] of subscribers) {
                    handler.callback(newData); 
                }
            }

            // DatafeedConfiguration implementation
            const configurationData = {
                supported_resolutions: ["5S", "1", "3", "5", "15", "30", "60", "120", "240", "1D", "1W", "1M"],
                exchanges: [{
                    value: 'Kraken',
                    name: 'Kraken',
                    desc: 'Kraken bitcoin exchange',
                }],
                symbols_types: [{
                    name: 'crypto',
                    value: 'crypto',
                }],
            };

            // Modified Datafeed object
            const Datafeed = {
                onReady: (callback) => {
                    console.log('[onReady]: Method call');
                    setTimeout(() => callback(configurationData));
                },

                searchSymbols: (userInput, exchange, symbolType, onResultReadyCallback) => {
                    console.log('[searchSymbols]: Method call');
                    onResultReadyCallback([]);
                },

                resolveSymbol: (symbolName, onSymbolResolvedCallback, onResolveErrorCallback) => {
                    console.log('[resolveSymbol]: Method call', symbolName);
                    const symbolInfo = {
                        name: symbolName,
                        description: symbolName,
                        type: 'crypto',
                        session: '24x7',
                        timezone: 'Etc/UTC',
                        minmov: 1,
                        pricescale: 100,
                        has_intraday: true,
                        has_seconds: true,
                        intraday_multipliers: ['1', '60'],
                        seconds_multipliers: ["5"],
                        supported_resolutions: configurationData.supported_resolutions,
                        volume_precision: 2,
                        data_status: 'streaming',
                    };
                    onSymbolResolvedCallback(symbolInfo);
                },

                getBars: (symbolInfo, resolution, periodParams, onHistoryCallback, onErrorCallback) => {
                    const { from, to, firstDataRequest } = periodParams;
                    console.log('[getBars]: Method call', symbolInfo, resolution, new Date(from * 1000), new Date(to * 1000));

                    // Return an empty array for historical data as we are only focused on realtime updates
                    onHistoryCallback([], { noData: true }); 
                },

                subscribeBars: (symbolInfo, resolution, onRealtimeCallback, subscriberUID, onResetCacheNeededCallback) => {
                    console.log('[subscribeBars]: Method call with subscriberUID:', subscriberUID);
                    subscribers.set(subscriberUID, { symbolInfo, resolution, callback: onRealtimeCallback });
                },

                unsubscribeBars: (subscriberUID) => {
                    console.log('[unsubscribeBars]: Method call with subscriberUID:', subscriberUID);
                    subscribers.delete(subscriberUID);
                },
            };

            // TradingView widget initialization
            window.tvWidget = new TradingView.widget({
                symbol: 'Kraken:BTC/USD',
                interval: '5S',
                fullscreen: true,
                container: 'tv_chart_container',
                datafeed: Datafeed,
                enabled_features: ["dont_show_boolean_study_arguments", "seconds_resolution"],
                library_path: '../charting_library_cloned_data/charting_library/',
                time_frames: [
                    { text: "1m", resolution: "1", description: "1 Minute", title: "1m" },
                ],
                overrides: {
                    "mainSeriesProperties.candleStyle.upColor": "#26a69a",
                    "mainSeriesProperties.candleStyle.downColor": "#ef5350",
                    "mainSeriesProperties.candleStyle.drawWick": true,
                    "mainSeriesProperties.candleStyle.drawBorder": true,
                    "mainSeriesProperties.candleStyle.borderColor": "#378658",
                    "mainSeriesProperties.candleStyle.borderUpColor": "#26a69a",
                    "mainSeriesProperties.candleStyle.borderDownColor": "#ef5350",
                    "mainSeriesProperties.candleStyle.wickUpColor": "#26a69a",
                    "mainSeriesProperties.candleStyle.wickDownColor": "#ef5350",
                },
                time: simulatedData[0].time / 1000, 
            });
        </script>
    </body>
</html>

Explanation of Changes:

  1. Removed Timeframe Arrays and Aggregation Logic:

    • We removed the dataArrays object and the aggregateData and getTimeframeMs functions because we're only dealing with realtime updates and don't need to store or aggregate data.

  2. Simplified streamData:

    • The streamData function remains the same, simulating a stream of data.

  3. Simplified startStreaming:

    • The startStreaming function now simply iterates through the simulated data stream and calls notifySubscribers with each new data point.

  4. Modified notifySubscribers:

    • The notifySubscribers function now directly passes the newData to the onRealtimeCallback without any aggregation.

  5. Modified getBars:

    • The getBars function now always returns an empty array with noData: true. This indicates to TradingView that there is no historical data available, and it should rely solely on the realtime updates.

How it Works:

  • The streamData function simulates a stream of new bar data.

  • startStreaming iterates through this stream and sends each new bar to notifySubscribers.

  • notifySubscribers directly calls the onRealtimeCallback provided by TradingView for each subscriber (chart instance).

  • TradingView's replay method internally handles updating the chart based on these realtime updates.

  • Since getBars returns no historical data, the chart initially starts empty and is populated solely by the realtime updates.

why is date showing sep 24 when data is for Sep 16 2024

7.6s

You are correct! The issue is with how we are setting the initial time for the TradingView widget. We are currently using:

      time: simulatedData[0].time / 1000,

This sets the initial time to the timestamp of the first data point in your simulatedData array, which corresponds to September 16th, 2024. However, TradingView likely expects this timestamp to be in seconds, not milliseconds.

Solution:

Divide the timestamp by 1000 to convert it to seconds:

      time: simulatedData[0].time / 1000,  // Corrected: Divide by 1000

With this correction, the chart should correctly display the date as September 16th, 2024, aligning with your data.

Explanation:

TradingView's time option in the widget configuration expects a Unix timestamp in seconds. By dividing the millisecond timestamp from your simulatedData by 1000, we provide the correct format for TradingView to interpret the date accurately.

no ubt simulatedData is unix seconds so <!DOCTYPE HTML>

<html>
<head>
<title>TradingView Advanced Charts with Replay API</title>
</head>
<body style="margin:0px;">
<!-- A container for the library widget -->
<div id="tv_chart_container"></div>
      <!-- The script that loads Advanced Charts -->
    <script type="text/javascript" src="charting_library_cloned_data/charting_library/charting_library.js"></script>

    <!-- Custom datafeed module -->
    <script type="module">
        // Simulated data for streaming
        const simulatedData = [
            { time: 1725594300000, open: 25093.7, high: 25120.4, low: 25088.4, close: 25113.95, volume: 0 },
            { time: 1725594305000, open: 25120.65, high: 25131.65, low: 25118.15, close: 25126.1, volume: 0 },
            { time: 1725594310000, open: 25121.85, high: 25121.85, low: 25114.2, close: 25117.85, volume: 0 },
            { time: 1725594315000, open: 25115.6, high: 25118.2, low: 25111.25, close: 25114.4, volume: 0 },
            { time: 1725594320000, open: 25117.6, high: 25117.6, low: 25108.75, close: 25108.75, volume: 0 },
            { time: 1725594325000, open: 25108.5, high: 25122.85, low: 25108.25, close: 25122.85, volume: 0 },
            { time: 1725594330000, open: 25121.4, high: 25125.3, low: 25118.0, close: 25118.0, volume: 0 },
            { time: 1725594335000, open: 25118.2, high: 25118.65, low: 25116.7, close: 25118.35, volume: 0 }
        ];

        function streamData(data, interval = 5000) {
            let index = 0;
            return {
                next() {
                    return new Promise((resolve) => {
                        if (index < data.length) {
                            setTimeout(() => {
                                resolve({ value: data[index++], done: false });
                            }, interval);
                        } else {
                            resolve({ done: true });
                        }
                    });
                },
                [Symbol.asyncIterator]() {
                    return this;
                }
            };
        }

        // Start streaming data 
        async function startStreaming() {
            const dataStream = streamData(simulatedData, 5000); 
            for await (const newData of dataStream) {
                console.log("New data received:", new Date(newData.time), newData);
                notifySubscribers(newData);
            }
            console.log("Streaming completed");
        }

        // Start streaming immediately
        startStreaming();

        // Subscription handling
        const subscribers = new Map();

        function notifySubscribers(newData) {
            for (let [subscriberUID, handler] of subscribers) {
                handler.callback(newData); 
            }
        }

        // DatafeedConfiguration implementation
        const configurationData = {
            supported_resolutions: ["5S", "1", "3", "5", "15", "30", "60", "120", "240", "1D", "1W", "1M"],
            exchanges: [{
                value: 'Kraken',
                name: 'Kraken',
                desc: 'Kraken bitcoin exchange',
            }],
            symbols_types: [{
                name: 'crypto',
                value: 'crypto',
            }],
        };

        // Modified Datafeed object
        const Datafeed = {
            onReady: (callback) => {
                console.log('[onReady]: Method call');
                setTimeout(() => callback(configurationData));
            },

            searchSymbols: (userInput, exchange, symbolType, onResultReadyCallback) => {
                console.log('[searchSymbols]: Method call');
                onResultReadyCallback([]);
            },

            resolveSymbol: (symbolName, onSymbolResolvedCallback, onResolveErrorCallback) => {
                console.log('[resolveSymbol]: Method call', symbolName);
                const symbolInfo = {
                    name: symbolName,
                    description: symbolName,
                    type: 'crypto',
                    session: '24x7',
                    timezone: 'Etc/UTC',
                    minmov: 1,
                    pricescale: 100,
                    has_intraday: true,
                    has_seconds: true,
                    intraday_multipliers: ['1', '60'],
                    seconds_multipliers: ["5"],
                    supported_resolutions: configurationData.supported_resolutions,
                    volume_precision: 2,
                    data_status: 'streaming',
                };
                onSymbolResolvedCallback(symbolInfo);
            },

            getBars: (symbolInfo, resolution, periodParams, onHistoryCallback, onErrorCallback) => {
                const { from, to, firstDataRequest } = periodParams;
                console.log('[getBars]: Method call', symbolInfo, resolution, new Date(from * 1000), new Date(to * 1000));

                // Return an empty array for historical data as we are only focused on realtime updates
                onHistoryCallback([], { noData: true }); 
            },

            subscribeBars: (symbolInfo, resolution, onRealtimeCallback, subscriberUID, onResetCacheNeededCallback) => {
                console.log('[subscribeBars]: Method call with subscriberUID:', subscriberUID);
                subscribers.set(subscriberUID, { symbolInfo, resolution, callback: onRealtimeCallback });
            },

            unsubscribeBars: (subscriberUID) => {
                console.log('[unsubscribeBars]: Method call with subscriberUID:', subscriberUID);
                subscribers.delete(subscriberUID);
            },
        };

        // TradingView widget initialization
        window.tvWidget = new TradingView.widget({
            symbol: 'Kraken:BTC/USD',
            interval: '5S',
            fullscreen: true,
            container: 'tv_chart_container',
            datafeed: Datafeed,
            enabled_features: ["dont_show_boolean_study_arguments", "seconds_resolution"],
            library_path: '../charting_library_cloned_data/charting_library/',
            time_frames: [
                { text: "1m", resolution: "1", description: "1 Minute", title: "1m" },
            ],
            overrides: {
                "mainSeriesProperties.candleStyle.upColor": "#26a69a",
                "mainSeriesProperties.candleStyle.downColor": "#ef5350",
                "mainSeriesProperties.candleStyle.drawWick": true,
                "mainSeriesProperties.candleStyle.drawBorder": true,
                "mainSeriesProperties.candleStyle.borderColor": "#378658",
                "mainSeriesProperties.candleStyle.borderUpColor": "#26a69a",
                "mainSeriesProperties.candleStyle.borderDownColor": "#ef5350",
                "mainSeriesProperties.candleStyle.wickUpColor": "#26a69a",
                "mainSeriesProperties.candleStyle.wickDownColor": "#ef5350",
            },
            time: simulatedData[0].time * 1000, 
        });
    </script>
</body>
</html>
11.2s

I apologize for the mistake in my previous responses. I incorrectly assumed TradingView expected the time option in seconds.

However, based on the documentation and the fact that your simulatedData is already in milliseconds, you were correct that no conversion is needed.

The issue might stem from a different part of the code or a potential bug in TradingView's handling of the initial time.

To troubleshoot, let's try the following:

  1. Remove the time option entirely:

    • TradingView should automatically adjust the initial time based on the first data point it receives.

          window.tvWidget = new TradingView.widget({
    // ... (rest of your configuration)
    // Remove the 'time' option 
});

  2. Double-check the timezone:

    • Make sure the timezone specified in your resolveSymbol function ('Etc/UTC' in your code) matches the timezone of your simulatedData. Any discrepancies can lead to incorrect date display.

  3. Inspect the network requests:

    • Use your browser's developer tools (Network tab) to monitor the requests made by TradingView. Look for any errors or unexpected responses related to time or data retrieval.

  4. Test with a simpler dataset:

    • Create a very basic simulatedData array with only a few data points to isolate whether the issue is with the data itself or with the way TradingView is processing it.

  5. Consult TradingView's documentation:

    • There might be specific guidelines or limitations regarding the initial time setting that are not readily apparent.

By systematically eliminating potential causes, you should be able to pinpoint the reason for the incorrect date display and resolve the issue.

I apologize again for the earlier confusion and hope these suggestions help you get your chart working as expected!

who call replay dtata funciton when is it called

31.1s

The replay data function in TradingView's Charting Library is called internally by the library itself when it receives new data through the onRealtimeCallback function that you provide in the subscribeBars method of your datafeed.

Here's a breakdown of the process:

  1. subscribeBars is called: When you initialize the TradingView widget and set the data_status to streaming in the resolveSymbol function, TradingView calls your subscribeBars method.

  2. onRealtimeCallback is set: In subscribeBars, you provide a callback function (onRealtimeCallback) that TradingView will use to send you new data updates.

  3. New data arrives: Your notifySubscribers function, which is triggered by your simulated data stream, sends new data to TradingView through the onRealtimeCallback.

  4. TradingView processes the data: TradingView internally receives the new data and determines how to update the chart based on the resolution and timeframe.

  5. replay is called (internally): TradingView's internal logic calls the replay function, which is responsible for updating the chart's data and redrawing it to reflect the new information. This is done without you directly calling the replay function.

In essence, you don't directly call the replay function. Instead, you provide the mechanism (through subscribeBars and onRealtimeCallback) for TradingView to receive new data, and the library itself handles the replaying and updating of the chart using its internal logic.

Think of it like this:

  • You: The data provider, sending updates like a news feed.

  • TradingView Charting Library: The newsreader, receiving updates and deciding how to present them on the screen.

  • replay function: The internal mechanism the newsreader uses to update the display based on new information.

You control the flow of data, but TradingView handles the internal processing and updating of the chart based on that data.

now rather returngi empty array by onHistoricCallback creaet seprate arrays for each tiemframe and on replay start populate the 5S array only with the updating data from replay stream and if i switch timeframe for 5S to back to 1m or whatever back to 5S it should set data till that point availabek in 5S array

26.8s
      <!DOCTYPE HTML>
<html>
    <head>
        <title>TradingView Advanced Charts with Replay API</title>
    </head>
    <body style="margin:0px;">
        <div id="tv_chart_container"></div>
        <script type="text/javascript" src="charting_library_cloned_data/charting_library/charting_library.js"></script>
        <script type="module">
            const simulatedData = [
                { time: 1725594300000, open: 25093.7, high: 25120.4, low: 25088.4, close: 25113.95, volume: 0 },
                // ... (rest of your simulated data)
            ];

            const dataArrays = {
                '5S': [],
                '1': [],
                '3': [],
                // ... (other timeframes)
            };

            function streamData(data, interval = 5000) { 
                // ... (same as before)
            }

            async function startStreaming() {
                const dataStream = streamData(simulatedData, 5000);
                for await (const newData of dataStream) {
                    console.log("New data received:", new Date(newData.time), newData);
                    // Update only the 5S array for now
                    dataArrays['5S'].push(newData);
                    notifySubscribers(newData);
                }
                console.log("Streaming completed");
            }

            startStreaming();

            const subscribers = new Map();

            function notifySubscribers(newData) {
                // ... (same as before)
            }

            const configurationData = { 
                // ... (same as before)
            };

            const Datafeed = {
                onReady: (callback) => {
                    // ... (same as before)
                },

                searchSymbols: (userInput, exchange, symbolType, onResultReadyCallback) => {
                    // ... (same as before)
                },

                resolveSymbol: (symbolName, onSymbolResolvedCallback, onResolveErrorCallback) => {
                    // ... (same as before)
                },

                getBars: (symbolInfo, resolution, periodParams, onHistoryCallback, onErrorCallback) => {
                    const { from, to, firstDataRequest } = periodParams;
                    console.log('[getBars]: Method call', symbolInfo, resolution, new Date(from * 1000), new Date(to * 1000));

                    // Return data from the appropriate timeframe array
                    const bars = dataArrays[resolution].filter(bar => {
                        const barTime = bar.time / 1000;
                        return barTime >= from && barTime < to;
                    });

                    console.log(`[getBars]: returned ${bars.length} bar(s)`, bars);
                    onHistoryCallback(bars, { noData: bars.length === 0 });
                },

                subscribeBars: (symbolInfo, resolution, onRealtimeCallback, subscriberUID, onResetCacheNeededCallback) => {
                    // ... (same as before)
                },

                unsubscribeBars: (subscriberUID) => {
                    // ... (same as before)
                },
            };

            window.tvWidget = new TradingView.widget({
                // ... (rest of your widget configuration)
            });
        </script>
    </body>
</html>

Explanation of Changes:

  1. dataArrays Object: We reintroduce the dataArrays object to store data for each timeframe separately. For now, we only populate the '5S' array.

  2. startStreaming Modification: In startStreaming, we now push each new data point into the dataArrays['5S'] array.

  3. getBars Modification:

    • Instead of returning an empty array, we now filter the appropriate timeframe array (dataArrays[resolution]) based on the requested from and to timestamps.

    • This ensures that when you switch timeframes and then back to 5S, you get all the data that has been accumulated in the dataArrays['5S'] array up to that point.

How It Works:

  • The replay stream (via onRealtimeCallback) continues to populate the dataArrays['5S'] array.

  • When you switch to a different timeframe, TradingView calls getBars with the new resolution and time range.

  • getBars returns the relevant data from the corresponding timeframe array (which might be empty for other timeframes initially).

  • When you switch back to 5S, getBars will return all the data that has been accumulated in dataArrays['5S'], giving you a continuous view of the 5S data.

Next Steps:

  • You'll need to implement logic to populate the other timeframe arrays ('1', '3', etc.) as well, possibly using aggregation or other methods, depending on how you want to handle different resolutions.

  • Consider how you'll handle historical data for timeframes other than 5S – you might need to fetch it initially or provide a way to load it on demand.

give full updated code

66.5s
      <!DOCTYPE HTML>
<html>
    <head>
        <title>TradingView Advanced Charts with Replay API</title>
    </head>
    <body style="margin:0px;">
        <div id="tv_chart_container"></div>
        <script type="text/javascript" src="charting_library_cloned_data/charting_library/charting_library.js"></script>
        <script type="module">
            const simulatedData = [
                { time: 1725594300000, open: 25093.7, high: 25120.4, low: 25088.4, close: 25113.95, volume: 0 },
                { time: 1725594305000, open: 25120.65, high: 25131.65, low: 25118.15, close: 25126.1, volume: 0 },
                { time: 1725594310000, open: 25121.85, high: 25121.85, low: 25114.2, close: 25117.85, volume: 0 },
                { time: 1725594315000, open: 25115.6, high: 25118.2, low: 25111.25, close: 25114.4, volume: 0 },
                { time: 1725594320000, open: 25117.6, high: 25117.6, low: 25108.75, close: 25108.75, volume: 0 },
                { time: 1725594325000, open: 25108.5, high: 25122.85, low: 25108.25, close: 25122.85, volume: 0 },
                { time: 1725594330000, open: 25121.4, high: 25125.3, low: 25118.0, close: 25118.0, volume: 0 },
                { time: 1725594335000, open: 25118.2, high: 25118.65, low: 25116.7, close: 25118.35, volume: 0 }
            ];

            const dataArrays = {
                '5S': [],
                '1': [],
                '3': [],
                '5': [],
                '15': [],
                '30': [],
                '60': [],
                '120': [],
                '240': [],
                '1D': [],
                '1W': [],
                '1M': []
            };

            function streamData(data, interval = 5000) {
                let index = 0;
                return {
                    next() {
                        return new Promise((resolve) => {
                            if (index < data.length) {
                                setTimeout(() => {
                                    resolve({ value: data[index++], done: false });
                                }, interval);
                            } else {
                                resolve({ done: true });
                            }
                        });
                    },
                    [Symbol.asyncIterator]() {
                        return this;
                    }
                };
            }

            function aggregateData(data, timeframe) {
                const aggregated = [];
                let currentBucket = null;
                const timeframeMs = getTimeframeMs(timeframe);

                for (let row of data) {
                    const bucketTime = Math.floor(row.time / timeframeMs) * timeframeMs;

                    if (!currentBucket || currentBucket.time !== bucketTime) {
                        if (currentBucket) {
                            aggregated.push(currentBucket);
                        }
                        currentBucket = {
                            time: bucketTime,
                            open: row.open,
                            high: row.high,
                            low: row.low,
                            close: row.close,
                            volume: row.volume
                        };
                    } else {
                        currentBucket.high = Math.max(currentBucket.high, row.high);
                        currentBucket.low = Math.min(currentBucket.low, row.low);
                        currentBucket.close = row.close;
                        currentBucket.volume += row.volume;
                    }
                }

                if (currentBucket) {
                    aggregated.push(currentBucket);
                }

                return aggregated;
            }

            function getTimeframeMs(timeframe) {
                const unit = timeframe.slice(-1);
                const value = parseInt(timeframe);
                switch (unit) {
                    case 'S': return value * 1000;
                    case 'D': return value * 24 * 60 * 60 * 1000;
                    case 'W': return value * 7 * 24 * 60 * 60 * 1000;
                    case 'M': return value * 30 * 24 * 60 * 60 * 1000;
                    default: return value * 60 * 1000; // Assume minutes if no unit specified
                }
            }

            async function startStreaming() {
                const dataStream = streamData(simulatedData, 5000);
                for await (const newData of dataStream) {
                    console.log("New data received:", new Date(newData.time), newData);
                    
                    // Update all timeframe arrays 
                    for (let timeframe in dataArrays) {
                        dataArrays[timeframe] = aggregateData([...dataArrays[timeframe], newData], timeframe);
                    }
                    
                    notifySubscribers(newData);
                }
                console.log("Streaming completed");
            }

            startStreaming();

            const subscribers = new Map();

            function notifySubscribers(newData) {
                for (let [subscriberUID, handler] of subscribers) {
                    handler.callback(newData);
                }
            }

            const configurationData = {
                supported_resolutions: ["5S", "1", "3", "5", "15", "30", "60", "120", "240", "1D", "1W", "1M"],
                exchanges: [{
                    value: 'Kraken',
                    name: 'Kraken',
                    desc: 'Kraken bitcoin exchange',
                }],
                symbols_types: [{
                    name: 'crypto',
                    value: 'crypto',
                }],
            };

            const Datafeed = {
                onReady: (callback) => {
                    console.log('[onReady]: Method call');
                    setTimeout(() => callback(configurationData));
                },

                searchSymbols: (userInput, exchange, symbolType, onResultReadyCallback) => {
                    console.log('[searchSymbols]: Method call');
                    onResultReadyCallback([]);
                },

                resolveSymbol: (symbolName, onSymbolResolvedCallback, onResolveErrorCallback) => {
                    console.log('[resolveSymbol]: Method call', symbolName);
                    const symbolInfo = {
                        name: symbolName,
                        description: symbolName,
                        type: 'crypto',
                        session: '24x7',
                        timezone: 'Etc/UTC',
                        minmov: 1,
                        pricescale: 100,
                        has_intraday: true,
                        has_seconds: true,
                        intraday_multipliers: ['1', '60'],
                        seconds_multipliers: ["5"],
                        supported_resolutions: configurationData.supported_resolutions,
                        volume_precision: 2,
                        data_status: 'streaming',
                    };
                    onSymbolResolvedCallback(symbolInfo);
                },

                getBars: (symbolInfo, resolution, periodParams, onHistoryCallback, onErrorCallback) => {
                    const { from, to, firstDataRequest } = periodParams;
                    console.log('[getBars]: Method call', symbolInfo, resolution, new Date(from * 1000), new Date(to * 1000));

                    const bars = dataArrays[resolution].filter(bar => {
                        const barTime = bar.time / 1000;
                        return barTime >= from && barTime < to;
                    });

                    console.log(`[getBars]: returned ${bars.length} bar(s)`, bars);
                    onHistoryCallback(bars, { noData: bars.length === 0 });
                },

                subscribeBars: (symbolInfo, resolution, onRealtimeCallback, subscriberUID, onResetCacheNeededCallback) => {
                    console.log('[subscribeBars]: Method call with subscriberUID:', subscriberUID);
                    subscribers.set(subscriberUID, { symbolInfo, resolution, callback: onRealtimeCallback });
                },

                unsubscribeBars: (subscriberUID) => {
                    console.log('[unsubscribeBars]: Method call with subscriberUID:', subscriberUID);
                    subscribers.delete(subscriberUID);
                },
            };

            window.tvWidget = new TradingView.widget({
                symbol: 'Kraken:BTC/USD',
                interval: '5S',
                fullscreen: true,
                container: 'tv_chart_container',
                datafeed: Datafeed,
                enabled_features: ["dont_show_boolean_study_arguments", "seconds_resolution"],
                library_path: '../charting_library_cloned_data/charting_library/',
                time_frames: [
                    { text: "1m", resolution: "1", description: "1 Minute", title: "1m" },
                    { text: "3m", resolution: "3", description: "3 Minutes", title: "3m" },
                    { text: "5m", resolution: "5", description: "5 Minutes", title: "5m" },
                    { text: "15m", resolution: "15", description: "15 Minutes", title: "15m" },
                    { text: "30m", resolution: "30", description: "30 Minutes", title: "30m" },
                    { text: "1h", resolution: "60", description: "1 Hour", title: "1h" },
                    { text: "2h", resolution: "120", description: "2 Hours", title: "2h" },
                    { text: "4h", resolution: "240", description: "4 Hours", title: "4h" },
                    { text: "1D", resolution: "1D", description: "1 Day", title: "1D" },
                    { text: "1W", resolution: "1W", description: "1 Week", title: "1W" },
                    { text: "1M", resolution: "1M", description: "1 Month", title: "1M" },
                ],
                overrides: {
                    "mainSeriesProperties.candleStyle.upColor": "#26a69a",
                    "mainSeriesProperties.candleStyle.downColor": "#ef5350",
                    "mainSeriesProperties.candleStyle.drawWick": true,
                    "mainSeriesProperties.candleStyle.drawBorder": true,
                    "mainSeriesProperties.candleStyle.borderColor": "#378658",
                    "mainSeriesProperties.candleStyle.borderUpColor": "#26a69a",
                    "mainSeriesProperties.candleStyle.borderDownColor": "#ef5350",
                    "mainSeriesProperties.candleStyle.wickUpColor": "#26a69a",
                    "mainSeriesProperties.candleStyle.wickDownColor": "#ef5350",
                },
                // Removed the 'time' option to let TradingView auto-adjust 
            });
        </script>
    </body>
</html>

Key Improvements:

  • Aggregation for All Timeframes: The startStreaming function now uses the aggregateData function to populate all the timeframe arrays in dataArrays whenever a new data point is received.

  • getBars Returns Aggregated Data: The getBars function now returns the appropriate aggregated data from the dataArrays object based on the requested resolution and time range.

  • Timeframes Added to Widget Configuration: The time_frames option in the TradingView widget configuration now includes all the supported timeframes, allowing users to switch between them.

  • Removed time Option: The time option has been removed from the widget configuration, allowing TradingView to automatically adjust the initial time based on the first data point it receives.

How It Works:

  1. Data Streaming and Aggregation: The startStreaming function simulates a stream of new data. For each new data point, it updates all the timeframe arrays in dataArrays using the aggregateData function, which aggregates the data based on the timeframe.

  2. Chart Initialization: When the TradingView chart is initialized, it requests historical data from getBars.

  3. getBars Provides Data: The getBars function returns the aggregated data for the requested timeframe and time range from the dataArrays object.

  4. Realtime Updates: As new data arrives through the onRealtimeCallback, TradingView updates the chart using the replay function internally. The dataArrays are also updated in real-time, ensuring that when you switch between timeframes, you see the correct aggregated data.

This implementation provides a more complete example of how to handle different timeframes in a TradingView chart using simulated streaming data and aggregation. You can further customize the aggregation logic or add features like loading historical data on demand to enhance the functionality.

when i swtich back to 5S the 5S array is emprty or what not setting from the start of array

16.0s

You're correct. The issue is that the dataArrays['5S'] array is getting reset when you switch away from the 5S timeframe and back again. This is likely happening because TradingView is calling getBars with a new from and to range when you switch back, and the data from the previous 5S view is not being preserved.

Solution:

We need to modify the getBars function to handle the case where you switch back to the 5S timeframe. Instead of always filtering the dataArrays['5S'] array based on the from and to parameters, we'll check if the firstDataRequest flag is true. If it is, we'll return the entire dataArrays['5S'] array, effectively preserving the previously displayed data.

Modified getBars function:

      getBars: (symbolInfo, resolution, periodParams, onHistoryCallback, onErrorCallback) => {
    const { from, to, firstDataRequest } = periodParams;
    console.log('[getBars]: Method call', symbolInfo, resolution, new Date(from * 1000), new Date(to * 1000));

    if (resolution === '5S' && firstDataRequest) {
        // If it's the first request for 5S, return the entire array
        const bars = dataArrays['5S'];
        console.log(`[getBars]: returned entire 5S array (${bars.length} bar(s))`, bars);
        onHistoryCallback(bars, { noData: bars.length === 0 });
    } else {
        // For other requests (including subsequent 5S requests), filter as usual
        const bars = dataArrays[resolution].filter(bar => {
            const barTime = bar.time / 1000;
            return barTime >= from && barTime < to;
        });
        console.log(`[getBars]: returned ${bars.length} bar(s)`, bars);
        onHistoryCallback(bars, { noData: bars.length === 0 });
    }
},

Explanation:

  • We now check if resolution === '5S' and firstDataRequest === true.

  • If both conditions are met, it means it's the initial request for the 5S timeframe, and we return the entire dataArrays['5S'] array.

  • Otherwise, we filter the array based on from and to as before.

With this modification, when you switch back to the 5S timeframe, the chart should display the data from the beginning of the dataArrays['5S'] array, preserving the previously viewed data.

give full updated code

10.1s
      <!DOCTYPE HTML>
<html>
    <head>
        <title>TradingView Advanced Charts with Replay API</title>
    </head>
    <body style="margin:0px;">
        <div id="tv_chart_container"></div>
        <script type="text/javascript" src="charting_library_cloned_data/charting_library/charting_library.js"></script>
        <script type="module">
            const simulatedData = [
                { time: 1725594300000, open: 25093.7, high: 25120.4, low: 25088.4, close: 25113.95, volume: 0 },
                { time: 1725594305000, open: 25120.65, high: 25131.65, low: 25118.15, close: 2512
Prompt saved | This model is an experimental preview release only for developer feedback and testing, with more updates coming soon.

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